Gender: Female 
Age: 45-54
Nationality: United States
Ethnicity: Asian / Pacific Islander 
Marital status: Cohabitating 
First language: English 
Religion: Nothing 
Education: Undergraduate degree
Mother's education: High school or below
Father's education: Undergraduate degree
Self-assessed socioeconomic status (1-10): 7
Home: Rent 
Employment: Employed full time
Occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Mother's occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Father's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Hobbies: Listen to rock/indie music;Listen to hiphop and rap;Use social media;Watch sports 
Devices used daily: Laptop;Smartphone 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants) 
NLP tools they would find useful: Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text) 
Frequency of LLM use: Rarely
LLMs used: ChatGPT 
LLM use cases: Brainstorming;Generic chatbot conversation;Solving math or logical problems;Analyze data;Learning (e.g., explaining complex concepts in simple terms);Answering questions about general knowledge;Get information about current events 
Contexts of LLM use: Entertainment;Learning;Personal 
Prompt 1: If 100 games were played, where a team has 1.5 odds, how many games would they win out of 100
Prompt 2: If government gave more money to Military, how will that affect my personal consumption and labor market (such as job search and working hours) 
Prompt 3: I need to write a poem about nature. Can you help me with writing this poem?
Prompt 4: Creative ways to make money in 3 hours with $20 seed money 
Prompt 5: create a child's toy using a car and boat
Prompt 6: What does activating my eSIM do
Prompt 7: When  searching for jobs- What specific information do you seek when you visit job boards or career sites and how does this differ from what you look for on Glassdoor or social media?
Prompt 8: Write a short romanticized description for an Administrative Assistant. 
Prompt 9: Roast my car
Prompt 10: How many Americans have at least 1 million dollars